Tuesday, 17 September 2013

Group1- Freny Mehta

Laws in Probability:
1. Addition law-
The addition rule is a result used to determine the probability that event A or event B occurs or both occur.
The result is often written as follows, using set notation:
P(A U B) = P(A) + P(B) - P(A n B)
where:
P(A) = probability that event A occurs
P(B) = probability that event B occurs
P(A U B) = probability that event A or event B occurs
P(A n B) = probability that event A and event B both occur
For mutually exclusive events, that is events which cannot occur together:
P(A n B) = 0
The addition rule therefore reduces to
P(A U B) = P(A) + P(B)
For independent events, that is events which have no influence on each other:
P(A n B) = P(A).P(B)
The addition rule therefore reduces to
P(A U B) = P(A) + P(B) - P(A).P(B)
Example
Suppose we wish to find the probability of drawing either a king or a spade in a single draw from a pack of 52 playing cards.
We define the events A = 'draw a king' and B = 'draw a spade'
Since there are 4 kings in the pack and 13 spades, but 1 card is both a king and a spade, we have:
P(A U B) = P(A) + P(B) - P(A n B) = 4/52 + 13/52 - 1/52 = 16/52
So, the probability of drawing either a king or a spade is 16/52 (= 4/13). 
 
2. Conditional law- It  is the probability that an event will occur, when another event is known to occur or to have occurred. 
For Example:
Suppose that somebody secretly rolls two fair six-sided dice, and we must predict the outcome.
  • Let A be the value rolled on die 1
  • Let B be the value rolled on die 2
What is the probability that A = 2? Table 1 shows the sample space. A = 2 in 6 of the 36 outcomes, thus P(A=2) = 636 = 16.

Table
+ B=1 2 3 4 5 6
A=1 2 3 4 5 6 7
2 3 4 5 6 7 8
3 4 5 6 7 8 9
4 5 6 7 8 9 10
5 6 7 8 9 10 11
6 7 8 9 10 11 12
 

Suppose it is revealed that A+B ≤ 5. Table 2 shows that A+B ≤ 5 for 10 outcomes. For 3 of these, A = 2. So the probability that A = 2 given that A+B ≤ 5 is P(A=2 | A+B ≤ 5) = 310 = 0.3.
Table 2
+ B=1 2 3 4 5 6
A=1 2 3 4 5 6 7
2 3 4 5 6 7 8
3 4 5 6 7 8 9
4 5 6 7 8 9 10
5 6 7 8 9 10 11
6 7 8 9 10 11 12

  • 3. Multiplicative law-It is used for dependent events.
  • For Example : Suppose you are going to draw two cards from a standard deck. What is the probability that the first card is an ace and the second card is a jack (just one of several ways to get “blackjack” or 21).
  •  
    Using the multiplication rule we get
     
    P(ace) P(jack) = (4/52)(4/51) = 16/2652 = 4/663

    Sources: 
    http://www.algebralab.org/lessons/lesson.aspx?file=Algebra_ProbabilityMultiplicationRule.xml.
    http://www.stat.wvu.edu/SRS/Modules/ProbLaw/AndProb.html.
    http://www.mathgoodies.com/lessons/vol6/addition_rules.html.
    http://www3.ul.ie/~mlc/support/Loughborough%20website/chap4/4_3.pdf.

    No comments:

    Post a Comment